GCP-DE
Data Engineering on Google Cloud Training
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
Course Details
Duration
4 days
Prerequisites
- Basic proficiency with a common query language such as SQL.
- Experience with data modeling and ETL (extract, transform, load) activities.
- Experience with developing applications using a common programming language such as Python.
- Familiarity with machine learning and/or statistics.
Target Audience
Developers who are responsible for:
- Extracting, Loading, Transforming, cleaning, and validating data
- Designing pipelines and architectures for data processing
- Integrating analytics and machine learning capabilities into data pipelines
- Querying datasets, visualizing query results and creating reports
Skills Gained
- Design and build data processing systems on Google Cloud.
- Process batch and streaming data by implementing autoscaling data pipelines on Dataflow.
- Derive business insights from extremely large datasets using BigQuery.
- Leverage unstructured data using Spark and ML APIs on Dataproc.
- Enable instant insights from streaming data.
- Understand ML APIs and BigQuery ML, and learn to use AutoML to create powerful models without coding.
Course Outline
- Introduction to Data Engineering
- Building a Data Lake
- Building a Data Warehouse
- Introduction to Building Batch Data Pipelines
- Executing Spark on Dataproc
- Serverless Data Processing with Dataflow
- Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
- Introduction to Processing Streaming Data
- Serverless Messaging with Pub/Sub
- Dataflow Streaming Features
- High-Throughput BigQuery and Bigtable Streaming Features
- Advanced BigQuery Functionality and Performance
- Introduction to Analytics and AI
- Prebuilt ML Model APIs for Unstructured Data
- Big Data Analytics with Notebooks
- Production ML Pipelines
- Custom Model Building with SQL in BigQuery ML
- Custom Model Building with AutoML
Upcoming Course Dates
USD $3,600
Online Virtual Class
Scheduled
Date: Aug 12 - 15, 2024
Time: 9 AM - 5 PM ET
Partner Registration
The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.
You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.